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Supercov turns your coding agent into a pseudo-software factory. It’s a test coverage tool for coding agents so they could work in a loop and keep writing tests where it makes sense.
Code just became cheaper with AI but review and verification is as hard as it was. Tests are great, but current AI slop needs much more exhaustive testing.
I built a test coverage tool for coding agents so they could work in a loop and keep writing tests where it makes sense.
Here’s Supercov: - Wraps any JavaScript/TypeScript/Python/Rust test suite - Provides MC/DC code coverage (NASA uses this) - Free and open source
Easiest way is just to give your agent a prompt: Measure coverage with npx supercov and write one test.
Goal is building the deepest code coverage suite for coding agents thats works automagically in any language and any test suite. I feel code verification is the missing piece for software factories to actually work.
I’d particularly be interested in feedback on compatibility and if your agent ran into any problems.
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About Supercov on Product Hunt
“Coverage so coding agents can work overnight”
Supercov was submitted on Product Hunt and earned 7 upvotes and 1 comments, placing #47 on the daily leaderboard. Supercov turns your coding agent into a pseudo-software factory. It’s a test coverage tool for coding agents so they could work in a loop and keep writing tests where it makes sense.
Supercov was featured in Developer Tools (519k followers), Artificial Intelligence (478.1k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 231k products, making this a competitive space to launch in.
Who hunted Supercov?
Supercov was hunted by Domas Bitvinskas. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Domas Bitvinskas
Hello PH!
Code just became cheaper with AI but review and verification is as hard as it was. Tests are great, but current AI slop needs much more exhaustive testing.
I built a test coverage tool for coding agents so they could work in a loop and keep writing tests where it makes sense.
Here’s Supercov:
- Wraps any JavaScript/TypeScript/Python/Rust test suite
- Provides MC/DC code coverage (NASA uses this)
- Free and open source
Easiest way is just to give your agent a prompt: Measure coverage with npx supercov and write one test.
Goal is building the deepest code coverage suite for coding agents thats works automagically in any language and any test suite. I feel code verification is the missing piece for software factories to actually work.
I’d particularly be interested in feedback on compatibility and if your agent ran into any problems.
Contributions and bug reports are very welcome: https://github.com/supercorp-ai/...